CUDA on non-NVIDIA GPUs
- cuda
- rust
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CUDA on non-NVIDIA GPUs
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Optimized primitives for collective multi-GPU communication
A PyTorch Library for Accelerating 3D Deep Learning Research
Real-Time Rendering Framework
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
cuGraph - RAPIDS Graph Analytics Library
USD BRep is a standalone C++ and Python library for NURBS-based boundary representation (BRep) solid modeling
ILGPU JIT Compiler for high-performance .Net GPU programs
An efficient C++20 GPU numerical computing library with Python-like syntax
AssetFurnace: the most complete open-source image-to-3D pipeline (Oct 2026). Prompt or picture → textured, rigged, animated game character, locally on Apple Silicon or NVIDIA. Pixal3D, TRELLIS.2, Hunyuan3D, SF3D, auto-rig and 21 moves. For indie game devs and 3D artists. Free, Apache-2.0.
A Rust port of NVIDIA's SMLib B-rep kernel (CAD subset): safe, deterministic, wasm-compatible
Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
Berth is a lightweight GPU resource manager written in Go. It controls which applications get access to your GPU, when they get it, and how that access is handed off.
ClojureCL is a Clojure library for parallel computations with OpenCL.
A Dockerfile generator for running OpenGL (GLX) applications with nvidia-docker2, CUDA, ROS, and Gazebo on a remote headless server system by using VirtualGL&VNC and Lubuntu Desktop